• Janani Sivapriya V.K
• Dr. R.Saravanamoorthy
• Dr. S. Angel

Text mining, which focuses on the analysis and extraction of valuable information from unstructured text data, has become a crucial tool in the big data era. Over the past few years, text mining has become increasingly important. Users can now access knowledge through text mining from a wide range of sources, including print, digital, and electronic media and many others. Deep learning, a subfield of machine learning, has emerged as a powerful paradigm for tackling complex text mining tasks. Deep learning algorithms have been widely adopted for text mining, due to their ability to capture complex patterns in textual data. This survey paper aims to provide an overview of the recent advancements in the application of deep learning algorithms in text mining. This will be the source of future studies in this field.

Deep Learning, Text Mining, RNN, CNN, Transformer Model, Attention Mechanism, Text Classification, Topic Categorization, Sentiment Analysis, Question Answering.

"Deep Learning Algorithms for Text Mining: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.e44-e49, December-2024, Available :http://www.jetir.org/papers/JETIR2412405.pdf

"Deep Learning Algorithms for Text Mining: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppe44-e49, December-2024, Available at : http://www.jetir.org/papers/JETIR2412405.pdf